2014
DOI: 10.2139/ssrn.3199082
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Wildfire Monitoring Using Satellite Images, Ontologies and Linked Geospatial Data

Abstract: a b s t r a c tAdvances in remote sensing technologies have allowed us to send an ever-increasing number of satellites in orbit around Earth. As a result, Earth Observation data archives have been constantly increasing in size in the last few years, and have become a valuable source of data for many scientific and application domains. When Earth Observation data is coupled with other data sources many pioneering applications can be developed. In this paper we show how Earth Observation data, ontologies, and li… Show more

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Cited by 6 publications
(4 citation statements)
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“…In fact, the entire semantic network model was built in such a formalized way around the central element of the ontology model for object classification. The knowledge for building the model was acquired both from literature [24] as well as by using data mining techniques [48,49]. Although the experiments were so far carried out for one high resolution ZY-3 satellite image scene and can therefore not verify the transferability as such, the experiments clearly validated the feasibility of the methodology.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, the entire semantic network model was built in such a formalized way around the central element of the ontology model for object classification. The knowledge for building the model was acquired both from literature [24] as well as by using data mining techniques [48,49]. Although the experiments were so far carried out for one high resolution ZY-3 satellite image scene and can therefore not verify the transferability as such, the experiments clearly validated the feasibility of the methodology.…”
Section: Discussionmentioning
confidence: 99%
“…Using satellite telemetered data to detect and forecast forest fires is the traditional approach and still the predominant method. For example, a wildfire monitoring service was proposed to show how satellite images, ontologies and linked geospatial data can be combined for wildfire monitoring [16,17]. This approach processed satellite images to detect pixels where the fire may exist and then representing satellite image metadata, knowledge extracted from satellite images and auxiliary geospatial datasets encoded as linked data.…”
Section: Related Workmentioning
confidence: 99%
“…Forestier et al (2013) built coastal zone ontology to extract coastal zone with background and semantic knowledge. Kyzirakos et al (2014) provided wildfire monitoring services and combined satellite images and geospatial data with ontology. presented an ontology-based classification method for extracting types of buildings where airborne laser scanning data are employed and obtained effective recognition results.…”
Section: Introductionmentioning
confidence: 99%